Search Results for author:
Found 6 papers, 1 papers with code
Multi-Spacecraft Predictive Sensor Tasking for Cislunar Space Situational Awareness
This paper exploits the EIF's additive structure of measurement information to break the dependence and devises an efficient linear integer programming formulation.
Orbital Facility Location Problem for Satellite Constellation Servicing Depots
This work proposes an adaptation of the Facility Location Problem for the optimal placement of on-orbit servicing depots for satellite constellations in high-altitude orbit.
Deep Monocular Hazard Detection for Safe Small Body Landing
Hazard detection and avoidance is a key technology for future robotic small body sample return and lander missions.
Hierarchical Reinforcement Learning Framework for Stochastic Spaceflight Campaign Design
This paper develops a hierarchical reinforcement learning architecture for multimission spaceflight campaign design under uncertainty, including vehicle design, infrastructure deployment planning, and space transportation scheduling.
Hierarchical Reinforcement Learning
reinforcement-learning
+2
Deep Reinforcement Learning for Safe Landing Site Selection with Concurrent Consideration of Divert Maneuvers
This research proposes a new integrated framework for identifying safe landing locations and planning in-flight divert maneuvers.
Bayesian Deep Learning for Segmentation for Autonomous Safe Planetary Landing
However, performance for these methods can degrade for input DEMs with increased sensor noise.
